Showing 286 open source projects for "use"

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  • 1
    Apache Airflow

    Apache Airflow

    Programmatically author, schedule, and monitor workflows

    Apache Airflow is a community-created platform for programmatically authoring, scheduling, and monitoring workflows. It’s much easier to do all these things when workloads are defined as code. They become more versionable, testable, maintainable and collaborative. With Airflow you can author workflows as directed acyclic graphs (DAGs) of tasks. This means that your tasks are executed on an array of workers while following the specified dependencies. And with rich command line utilities in...
    Downloads: 10 This Week
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  • 2
    Prophet

    Prophet

    Tool for producing high quality forecasts for time series data

    Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal...
    Downloads: 5 This Week
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  • 3
    VectorVein

    VectorVein

    No-code AI workflow

    ...After the software is opened normally, click on the set button. Please fill in API Key of OpenAI to use the AI function and select the output folder for storing the files during workflow output. If you need to use the function of mail delivery, please fill in the mailbox information on the set page. A workflow represents a work task process that includes input, output, and workflow triggering methods. You can arbitrarily define what the input is, what the output is, and how the input is processed and reaches the output result.
    Downloads: 2 This Week
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  • 4
    folium

    folium

    Python data, Leaflet.js maps

    folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via folium. folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map. The library has a number of...
    Downloads: 5 This Week
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  • AI-generated apps that pass security review Icon
    AI-generated apps that pass security review

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  • 5
    OpenBB Terminal

    OpenBB Terminal

    Investment research for everyone, anywhere

    ...The MIT Open Source license allows any user to fork the project to either add features to the broader community or create their own customized terminal version. The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error.
    Downloads: 4 This Week
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  • 6
    Matplotlib

    Matplotlib

    matplotlib: plotting with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a...
    Downloads: 18 This Week
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  • 7
    NannyML

    NannyML

    Detecting silent model failure. NannyML estimates performance

    ...When the actual outcome of your deployed prediction models is delayed, or even when post-deployment target labels are completely absent, you can use NannyML's CBPE-algorithm to estimate model performance.
    Downloads: 1 This Week
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  • 8
    PyBroker

    PyBroker

    Algorithmic Trading in Python with Machine Learning

    Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance.
    Downloads: 2 This Week
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  • 9
    JILL.py

    JILL.py

    A cross-platform installer for the Julia programming language

    The enhanced Python fork of JILL, Julia Installer for Linux (and every other platform), Light.
    Downloads: 0 This Week
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  • 10
    CKAN

    CKAN

    CKAN is an open-source DMS for powering data hubs

    CKAN is the world’s leading open-source data portal platform. CKAN makes it easy to publish, share and work with data. It's a data management system that provides a powerful platform for cataloging, storing and accessing datasets with a rich front-end, full API (for both data and catalog), visualization tools and more.CKAN is used by national and regional government organizations throughout the European Union, the Americas, Asia, and Oceania to power a variety of official and community data...
    Downloads: 14 This Week
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  • 11
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ...Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 2 This Week
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  • 12
    DataChain

    DataChain

    AI-data warehouse to enrich, transform and analyze unstructured data

    ...The resulting datasets can be saved, versioned, and sent directly to PyTorch and TensorFlow for training. Datachain can persist features of Python objects returned by AI models, and enables vectorized analytical operations over them. The typical use cases are data curation, LLM analytics and validation, image segmentation, pose detection, and GenAI alignment. Datachain is especially helpful if batch operations can be optimized – for instance, when synchronous API calls can be parallelized or where an LLM API offers batch processing.
    Downloads: 5 This Week
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  • 13
    AI Hedge Fund

    AI Hedge Fund

    An AI Hedge Fund Team

    ...The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. The project underlines AI’s potential in investment strategies but also carries disclaimers that it is for research and not financial advice. The implementation is designed so developers can study the pipeline end-to-end: from data ingestion through modeling to simulated portfolio management.
    Downloads: 5 This Week
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  • 14
    AIQuant

    AIQuant

    AI-powered platform for quantitative trading

    ...It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation.
    Downloads: 7 This Week
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  • 15
    Saleor

    Saleor

    Customer-centric e-commerce on a modern stack

    ...It’s also global-ready, able to automatically localize pricing, language and even checkout experience by country. See a Saleor storefront in action at https://pwa.saleor.io/ or get a glimpse of the admin dashboard here: https://pwa.saleor.io/dashboard/. Use login credentials: admin@example.com/admin
    Downloads: 8 This Week
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  • 16
    Online Boutique

    Online Boutique

    Sample cloud-first application with 10 microservices

    ...The application is a web-based e-commerce app where users can browse items, add them to the cart, and purchase them. Google uses this application to demonstrate the use of technologies like Kubernetes, GKE, Istio, Stackdriver, and gRPC. This application works on any Kubernetes cluster, like Google Kubernetes Engine (GKE). It’s easy to deploy with little to no configuration.
    Downloads: 0 This Week
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  • 17
    Kronos

    Kronos

    A Foundation Model for the Language of Financial Markets

    ...It is optimized for the noisy and complex nature of market data, distinguishing it from general-purpose time-series models. The project includes multiple pre-trained model sizes and tools for fine-tuning, making it adaptable to different computational constraints and use cases.
    Downloads: 5 This Week
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  • 18
    Arize Phoenix

    Arize Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    ...It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative) are an amazing technology that will power many of future ML use cases. A large set of these technologies are being deployed into businesses (the real world) in what we consider a production setting.
    Downloads: 5 This Week
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  • 19
    SageMaker Training Toolkit

    SageMaker Training Toolkit

    Train machine learning models within Docker containers

    ...The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. If you use a prebuilt SageMaker Docker image for training, this library may already be included. Write a training script (eg. train.py). Define a container with a Dockerfile that includes the training script and any dependencies.
    Downloads: 1 This Week
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  • 20
    Apache Airflow Provider

    Apache Airflow Provider

    Great Expectations Airflow operator

    ...Otherwise, your Airflow package version will be upgraded automatically, and you will have to manually run airflow upgrade db to complete the migration. This operator currently works with the Great Expectations V3 Batch Request API only. If you would like to use the operator in conjunction with the V2 Batch Kwargs API, you must use a version below 0.1.0. This operator uses Great Expectations Checkpoints instead of the former ValidationOperators. Because of the above, this operator requires Great Expectations >=v0.13.9, which is pinned in the requirements.txt starting with release 0.0.5.
    Downloads: 0 This Week
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  • 21
    wger

    wger

    Self hosted FLOSS fitness/workout, nutrition and weight tracker

    wger Workout Manager is a free and open web application that manages your exercises, routines and nutrition. It started out as a personal project to replace my growing collection of spreadsheets but has turned into something that other people may find useful. You can create and manage flexible training routines for whatever goals you have. Select exactly what exercises you are going to do and how many repetitions, time or distance you want to do. You can also combine different workouts in...
    Downloads: 6 This Week
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  • 22
    WYGIWYH

    WYGIWYH

    A simple but powerful self-hosted finance tracker

    WYGIWYH (What You Get Is What You Have) is a self-hosted, principles-first personal finance tracker built for people who prefer a simple, intuitive approach to tracking money without complicated budgets or categories. Based on a philosophy that you should use what you earn each month for that month, it helps you understand where your funds go while keeping savings clearly separated so they aren’t accidentally dipped into for everyday expenses. The app supports multiple currencies, customizable transaction types, and built-in tools like dollar-cost averaging tracking to help you see investment activity alongside regular expenses, making it flexible for real world financial situations and global use.
    Downloads: 0 This Week
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  • 23
    Bytewax

    Bytewax

    Python Stream Processing

    ...You can use Bytewax for a variety of workloads from moving data à la Kafka Connect style all the way to advanced online machine learning workloads. Bytewax is not limited to streaming applications but excels anywhere that data can be distributed at the input and output.
    Downloads: 0 This Week
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  • 24
    whylogs

    whylogs

    The open standard for data logging

    ...By capturing these summary statistics, we are able to accurately represent the data and enable all of the use cases described in the introduction.
    Downloads: 0 This Week
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  • 25
    loonflow

    loonflow

    A workflow engine base on django python

    ...The official version is shown in the release . It is recommended to use the latest version.
    Downloads: 0 This Week
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